AI Content Specialist – Adoption

Multiverse

AI Content Specialist ensuring high-quality AI-generated content for Multiverse's newest adoption platform. Role involves quality assurance, content curation, and supporting governance and feedback processes.

Posted 7/8/2026full-timeLondon • 🇬🇧 United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong editorial judgement and quality instinct while leveraging hands-on AI building skills to enhance content generation systems. Proficient in evaluating AI outputs and maintaining knowledge bases to ensure accuracy and relevance.

Highest-signal resume keywords

Editorial JudgementHands-On AI Building SkillsEvals FluencyData FluencyExperience in Technical Writing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Content GenerationContent CurationKnowledge Base MaintenanceUser Feedback TriagePattern Identification

Soft Skills

Bias Toward EffectivenessComfort with AmbiguityBias to Action

Tools & Technologies

LLM Evaluation ToolingLLM-as-Judge Frameworks

Industry Keywords

Learning DesignInstructional DesignContent StrategyTechnical WritingAI Disciplines

About the role

Key responsibilities & impact

Quality-assure AI-generated content: Review a sample of the use cases our AI content generation system produces for accuracy, working prompts, realistic outputs, and credible time savings.
Improve the system, not just the output: Identify patterns in where generation falls short and feed those insights back so the library gets better over time.
Keep content current: Use an AI-assisted process to identify use cases affected by tool changes and update them, keeping the library free of stale or inaccurate guidance.
Curate the knowledge base: Maintain the generic and customer-specific knowledge bases of best practices and AI tool documentation.
Support governance and feedback: Triage user feedback on content, route it appropriately, and act on it.

Requirements

What you’ll need

Editorial judgement and quality instinct (required)
Hands-on AI building skills (required)
Evals fluency (required)
A bias toward effectiveness over volume
Rigour and data fluency
Bias to action and comfort with ambiguity
Bonus experience: Experience in learning design, instructional design, content strategy, or technical writing/editing.
Experience designing for or working in technical or AI disciplines
Prior exposure to LLM evaluation tooling or platforms (e.g. LLM-as-judge frameworks, offline/online eval tooling) beyond the foundational fluency described above.

Benefits

Comp & perks

27 days holiday, plus 5 additional days off: 1 life event day, 2 volunteer days, 2 company-wide wellbeing days (M-Powered Weekend) and 8 bank holidays per year
private medical Insurance with Bupa
a medical cashback scheme
life insurance
gym membership & wellness resources through Wellhub and access to Spill - all in one mental health support
Hybrid work offering - for most roles we collaborate in the office three days per week with the exception of Coaches and Instructors who collaborate in the office once a month
work-from-anywhere scheme - you'll have the opportunity to work from anywhere, up to 10 days per year
Space to connect: Beyond the desk, we make time for weekly catch-ups, seasonal celebrations, and have a kitchen that’s always stocked!